Responsibilities:
- Work with data engineering and machine learning teams to improve our data infrastructure for increased reliability, maintainability, and scalability.
- Architect and design solutions to improve our data delivery capabilities, data quality monitoring, and data pipeline lifecycle.
- Architect and administer our cloud applications such as AWS Glue, Sagemaker, LakeFormation, iceberg lakehouse, etc.
- Managing Regression Testing Suite , Continuous Integration and Contnuous deployment Pipelines.
Mandatory Skill-set
• 4+ years of designing and building production data pipelines from ingestion to consumption in a cloud environment using SQL and Python.
• Experience in cloud application architecture & administration in AWS or Azure.Hands-on experience designing, building and operationalizing large-scale enterprise data solutions and applications. (Airflow, Databricks, Snowflake, Serverless Functions, Cloud storage preferred).
• Background in in custom ETL design, implementation, and maintenance. Hands-on experience with Unix/Linux Command Line Interface (CLI).
Purva Sholapurkar
EA Licence Number: 23C2060
Registration ID is R22109878
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